Cloudlets: at the Leading Edge of Mobile-Cloud Convergence

Mahadev Satyanarayanan; Zhuo Chen; Kiryong Ha; Wenlu Hu; Wolfgang Richter; Padmanabhan Pillai

6th International Conference on Mobile Computing, Applications and Services

Research Article

Cloudlets: at the Leading Edge of Mobile-Cloud Convergence

Download1170 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.mobicase.2014.257757,
    author={Mahadev Satyanarayanan and Zhuo Chen and Kiryong Ha and Wenlu Hu and Wolfgang Richter and Padmanabhan Pillai},
    title={Cloudlets: at the Leading Edge of Mobile-Cloud Convergence},
    proceedings={6th International Conference on Mobile Computing, Applications and Services},
    publisher={IEEE},
    proceedings_a={MOBICASE},
    year={2014},
    month={11},
    keywords={cognitive assistance wearable computers google glass cloud computing mobile computing computer vision},
    doi={10.4108/icst.mobicase.2014.257757}
}

Mahadev Satyanarayanan
Zhuo Chen
Kiryong Ha
Wenlu Hu
Wolfgang Richter
Padmanabhan Pillai
Year: 2014
Cloudlets: at the Leading Edge of Mobile-Cloud Convergence
MOBICASE
IEEE
DOI: 10.4108/icst.mobicase.2014.257757

Mahadev Satyanarayanan¹^,*, Zhuo Chen¹, Kiryong Ha¹, Wenlu Hu¹, Wolfgang Richter¹, Padmanabhan Pillai²

1: Carnegie Mellon University
2: Intel Labs

*Contact email: satya@cs.cmu.edu

Abstract

As mobile computing and cloud computing converge, the sensing and interaction capabilities of mobile devices can be seamlessly fused with compute-intensive and data-intensive processing in the cloud. Cloudlets are important architectural components in this convergence, representing the middle tier of a mobile device --- cloudlet --- cloud hierarchy. We show how cloudlets enable a new genre of applications called cognitive assistance applications that augment human perception and cognition. We describe a plug-and-play architecture for cognitive assistance, and a proof of concept using Google Glass.

Keywords: cognitive assistance wearable computers google glass cloud computing mobile computing computer vision

Published: 2014-11-28
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.mobicase.2014.257757